In the context of highly automated driving, the driver has to be aware of driving risks and to take over control of the car in hazardous situations. The goal of this paper is to categorize and analyze the factors that lead to such critical scenarios. To this purpose, we analyzed limitations of Advanced Driver-Assistance Systems (ADAS) extracted from owner manuals of 12 partially automated cars available on the market. A taxonomy with 6 macro-categories and 26 micro-categories is proposed to classify and better understand the limitations of these vehicles. We also investigated if these limitations are conveyed to the driver through Human-Machine Interaction (HMI) in the car. Some suggestions are made to better communicate these limitations to the driver in order to raise his/her situation awareness.

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https://hci.top/en/papers/auto_ui/5883/2019

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At a Glance

Paper Snapshot

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Source
AutoUI
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Year
2019
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Award
No award tagged
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Authors
7 authors
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Subtopics
Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS), AI-Assisted Decision-Making & Automation
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Professions
Automotive Manufacturers & Vehicle Designers, Autonomous Driving Engineers & Test Drivers
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Content Status
Abstract only
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